Diet enrichment with arachidonic and docosahexaenoic acid during the lactation period attenuates the effects of intrauterine growth restriction from birth to maturity in the guinea pig and improves maternal bone mass
Bibliographic record
Abstract
Intrauterine growth restriction (IUGR) reduces bone mass by 10-30% and impairs arachidonic (AA) and docosahexaenoic (DHA) acid status in infants. Because AA and DHA enhance neonatal bone mass, the aim of this study was to determine the effects of dietary 0.5% AA and 0.2% DHA (w/w) prior to weaning on bone and growth. 40 guinea pigs were randomized to either a control (C) or low-protein diet (LP) during pregnancy and the C diet or the C diet with AA+DHA during lactation. Measurements included bone mass, metabolism, and strength, and erythrocyte lipid of sows and offspring from birth to 16 wk post-partum. The LP diet induced IUGR, while the AA+DHA increased bone mass by 5-20% in sows and offspring and corrected growth and bone mass in IUGR pups. Thus, AA+DHA provided in lactation rescues the growth trajectory in an IUGR state and is beneficial to maternal and neonatal bone mass.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".